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Record W2733979562 · doi:10.1016/j.eurpsy.2017.01.2019

Antidepressant use During Pregnancy and the Risk of Major Congenital Malformations in a Cohort of Depressed Pregnant Women: A Re-analysis of the Quebec Pregnancy Cohort

2017· article· en· W2733979562 on OpenAlexaffabout
Anick Bérard, Jianlin Zhao, Odile Sheehy

Bibliographic record

VenueEuropean Psychiatry · 2017
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersUniversity of Cambridge
KeywordsMedicineCitalopramCohortAntidepressantParoxetinePregnancyDepression (economics)Cohort studyObstetricsReuptake inhibitorInternal medicineAnxietyPsychiatryBiology

Abstract

fetched live from OpenAlex

Objective To quantify the association between first-trimester antidepressant exposure and the risk of major congenital malformations (MCM) in a cohort of depressed women. Method Data were obtained from the Quebec pregnancy cohort. All pregnancies with a diagnosis of depression or anxiety, or exposed to antidepressants in the 12 months before pregnancy, and ending with a live-born singleton were included. Antidepressant classes (selective serotonin reuptake inhibitors (SSRI), serotonin norepinephrine reuptake inhibitors (SNRI), tricyclic antidepressants (TCA), and other antidepressants), and types were individually compared to non-exposure during the first-trimester (depressed untreated). MCM overall and organ-specific malformations in the first year of life were identified. Result Eighteen thousand four hundred and eighty-seven depressed pregnant women were included. Citalopram use during the first-trimester was increasing the risk of MCM (aOR 1.36, 95%CI 1.08, 1.73; 88 exposed cases). Antidepressants with serotonin reuptake inhibition effect (SSRI, SNRI, amitriptyline (the most used TCA)) were increasing the risk of certain organ specific defects: paroxetine was increasing the risk of cardiac defects (aOR 1.45, 95%CI 1.12, 1.88), and ventricular/atrial septal defects (aOR 1.39, 95%CI 1.00. 1.93); citalopram was increasing the risk of musculoskeletal defects (aOR 1.92, 95%CI 1.40. 2.62), and cranyosynostosis (aOR 3.95, 95%CI 2.08, 7.52); TCA was associated with eye, ear, face and neck defects (aOR 2.45, 95%CI 1.05, 5.72), and digestive defects (aOR 2.55, 95%CI 1.40. 4.66); and venlafaxine was associated with respiratory defects (aOR 2.17, 95%CI 1.07, 4.38). Conclusion Antidepressants with effects on serotonin reuptake during embryogenesis are increasing the risk of some organ specific malformations in a cohort of pregnant women with depression. Disclosure of interest COI: Disclosures and acknowledgments: AB is a consultant for plaintiffs in litigations involving antidepressants and birth defects. All other authors report no financial relationships with commercial interests. All authors have completed the ICMJE uniform disclosure form.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.258
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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